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- Implements LU decomposition using Doolittle's method - Decomposes square matrix A into L (lower) and U (upper) triangular matrices - Includes comprehensive test cases with edge case handling - Time complexity: O(n^3), Space complexity: O(n^2) - Resolves TheAlgorithms#6833
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## master #7102 +/- ##
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+ Coverage 78.50% 78.56% +0.05%
- Complexity 6752 6757 +5
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Files 759 759
Lines 22402 22403 +1
Branches 4400 4402 +2
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+ Hits 17587 17600 +13
+ Misses 4109 4099 -10
+ Partials 706 704 -2 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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Description
This PR adds an implementation of Kruskal's Algorithm for finding the Minimum Spanning Tree (MST) in weighted undirected graphs. This addresses the feature request in issue #7067.
Kruskal's algorithm is a fundamental graph algorithm that builds the MST by sorting edges by weight and adding them one by one, using a Union-Find data structure to avoid creating cycles.
Changes Made
Kruskal.java- Complete implementation with Union-Find optimizationKruskalTest.java- Comprehensive test suite with 9 test cases covering various scenariosAlgorithm Details
Testing
All tests pass successfully and cover:
References
Fixes #7067
Checklist
mvn spotless:apply